from sklearn_benchmarks.report import Reporting, ReportingHpo, print_time_report, print_env_info
import pandas as pd
pd.set_option('display.max_colwidth', None)
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
scikit-learn vs. scikit-learn-intelex (Intel® oneAPI) benchmarks: perfect hyperparameters match¶print_time_report()
sklearnex_KMeans_short: 0h 0m 1s
sklearnex_Ridge: 0h 0m 1s
KMeans_short: 0h 0m 2s
sklearnex_LogisticRegression: 0h 0m 4s
sklearnex_KMeans_tall: 0h 0m 7s
Ridge: 0h 0m 11s
LogisticRegression: 0h 0m 20s
KMeans_tall: 0h 0m 22s
sklearnex_KNeighborsClassifier_kd_tree: 0h 0m 30s
sklearnex_KNeighborsClassifier: 0h 2m 27s
KNeighborsClassifier_kd_tree: 0h 2m 44s
catboost_symmetric: 0h 5m 3s
catboost_lossguide: 0h 5m 5s
lightgbm: 0h 5m 9s
HistGradientBoostingClassifier: 0h 5m 19s
xgboost: 0h 5m 25s
KNeighborsClassifier: 0h 33m 52s
total: 1h 6m 52s
print_env_info()
{
"system_info": {
"python": "3.8.10 | packaged by conda-forge | (default, May 11 2021, 07:01:05) [GCC 9.3.0]",
"executable": "/usr/share/miniconda/envs/sklbench/bin/python",
"machine": "Linux-5.8.0-1036-azure-x86_64-with-glibc2.10"
},
"dependencies_info": {
"pip": "21.1.3",
"setuptools": "49.6.0.post20210108",
"sklearn": "1.0.dev0",
"numpy": "1.21.0",
"scipy": "1.7.0",
"Cython": null,
"pandas": "1.3.0",
"matplotlib": "3.4.2",
"joblib": "1.0.1",
"threadpoolctl": "2.1.0"
},
"threadpool_info": [
{
"filepath": "/usr/share/miniconda/envs/sklbench/lib/libopenblasp-r0.3.15.so",
"prefix": "libopenblas",
"user_api": "blas",
"internal_api": "openblas",
"version": "0.3.15",
"num_threads": 2,
"threading_layer": "pthreads"
},
{
"filepath": "/usr/share/miniconda/envs/sklbench/lib/python3.8/site-packages/scikit_learn.libs/libgomp-f7e03b3e.so.1.0.0",
"prefix": "libgomp",
"user_api": "openmp",
"internal_api": "openmp",
"version": null,
"num_threads": 2
},
{
"filepath": "/usr/share/miniconda/envs/sklbench/lib/libgomp.so.1.0.0",
"prefix": "libgomp",
"user_api": "openmp",
"internal_api": "openmp",
"version": null,
"num_threads": 2
}
],
"cpu_count": 2
}
reporting = Reporting(config="config.yml")
reporting.run()
KNeighborsClassifier: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: algorithm=brute.
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.158 | 0.0 | 5.060 | 0.0 | 1 | 1 | NaN | NaN | 0.490 | 0.0 | 0.323 | 0.0 | See | See |
| 3 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.133 | 0.0 | 6.029 | 0.0 | -1 | 100 | NaN | NaN | 0.478 | 0.0 | 0.278 | 0.0 | See | See |
| 6 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.129 | 0.0 | 6.187 | 0.0 | -1 | 1 | NaN | NaN | 0.477 | 0.0 | 0.271 | 0.0 | See | See |
| 9 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.131 | 0.0 | 6.113 | 0.0 | 1 | 5 | NaN | NaN | 0.473 | 0.0 | 0.276 | 0.0 | See | See |
| 12 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.127 | 0.0 | 6.300 | 0.0 | -1 | 5 | NaN | NaN | 0.473 | 0.0 | 0.268 | 0.0 | See | See |
| 15 | KNeighborsClassifier | fit | 1000000 | 1000000 | 100 | NaN | 0.128 | 0.0 | 6.239 | 0.0 | 1 | 100 | NaN | NaN | 0.472 | 0.0 | 0.272 | 0.0 | See | See |
| 18 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.056 | 0.0 | 0.285 | 0.0 | 1 | 1 | NaN | NaN | 0.101 | 0.0 | 0.555 | 0.0 | See | See |
| 21 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.054 | 0.0 | 0.295 | 0.0 | -1 | 100 | NaN | NaN | 0.101 | 0.0 | 0.537 | 0.0 | See | See |
| 24 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.055 | 0.0 | 0.289 | 0.0 | -1 | 1 | NaN | NaN | 0.100 | 0.0 | 0.552 | 0.0 | See | See |
| 27 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.071 | 0.0 | 0.226 | 0.0 | 1 | 5 | NaN | NaN | 0.101 | 0.0 | 0.701 | 0.0 | See | See |
| 30 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.056 | 0.0 | 0.284 | 0.0 | -1 | 5 | NaN | NaN | 0.100 | 0.0 | 0.560 | 0.0 | See | See |
| 33 | KNeighborsClassifier | fit | 1000000 | 1000000 | 2 | NaN | 0.056 | 0.0 | 0.288 | 0.0 | 1 | 100 | NaN | NaN | 0.101 | 0.0 | 0.548 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 12.820 | 0.099 | 0.0 | 0.013 | 1 | 1 | 0.694 | 0.956 | 1.778 | 0.008 | 7.210 | 0.064 | See | See |
| 2 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.217 | 0.009 | 0.0 | 0.217 | 1 | 1 | 1.000 | 1.000 | 0.090 | 0.001 | 2.419 | 0.105 | See | See |
| 4 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 35.312 | 0.000 | 0.0 | 0.035 | -1 | 100 | 0.926 | 0.730 | 1.739 | 0.024 | 20.310 | 0.280 | See | See |
| 5 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.184 | 0.018 | 0.0 | 0.184 | -1 | 100 | 1.000 | 0.000 | 0.091 | 0.001 | 2.035 | 0.200 | See | See |
| 7 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 26.709 | 0.885 | 0.0 | 0.027 | -1 | 1 | 0.694 | 0.796 | 1.739 | 0.017 | 15.359 | 0.531 | See | See |
| 8 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.183 | 0.014 | 0.0 | 0.183 | -1 | 1 | 1.000 | 1.000 | 0.088 | 0.001 | 2.073 | 0.165 | See | See |
| 10 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 22.393 | 0.030 | 0.0 | 0.022 | 1 | 5 | 0.793 | 0.956 | 1.777 | 0.008 | 12.603 | 0.058 | See | See |
| 11 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.212 | 0.001 | 0.0 | 0.212 | 1 | 5 | 1.000 | 1.000 | 0.089 | 0.000 | 2.366 | 0.015 | See | See |
| 13 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 35.726 | 0.000 | 0.0 | 0.036 | -1 | 5 | 0.793 | 0.796 | 1.736 | 0.014 | 20.576 | 0.169 | See | See |
| 14 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.190 | 0.016 | 0.0 | 0.190 | -1 | 5 | 1.000 | 1.000 | 0.089 | 0.001 | 2.142 | 0.178 | See | See |
| 16 | KNeighborsClassifier | predict | 1000000 | 1000 | 100 | NaN | 22.409 | 0.088 | 0.0 | 0.022 | 1 | 100 | 0.926 | 0.730 | 1.719 | 0.005 | 13.033 | 0.066 | See | See |
| 17 | KNeighborsClassifier | predict | 1000000 | 1 | 100 | NaN | 0.215 | 0.002 | 0.0 | 0.215 | 1 | 100 | 1.000 | 0.000 | 0.093 | 0.011 | 2.298 | 0.270 | See | See |
| 19 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 10.418 | 0.049 | 0.0 | 0.010 | 1 | 1 | 0.983 | 0.989 | 0.303 | 0.003 | 34.437 | 0.374 | See | See |
| 20 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.014 | 0.001 | 0.0 | 0.014 | 1 | 1 | 1.000 | 1.000 | 0.005 | 0.000 | 2.638 | 0.273 | See | See |
| 22 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 32.282 | 0.000 | 0.0 | 0.032 | -1 | 100 | 0.986 | 0.978 | 0.253 | 0.003 | 127.689 | 1.297 | See | See |
| 23 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.036 | 0.003 | 0.0 | 0.036 | -1 | 100 | 1.000 | 1.000 | 0.005 | 0.001 | 7.128 | 0.874 | See | See |
| 25 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 24.130 | 0.129 | 0.0 | 0.024 | -1 | 1 | 0.983 | 0.986 | 0.254 | 0.001 | 95.097 | 0.587 | See | See |
| 26 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.022 | 0.002 | 0.0 | 0.022 | -1 | 1 | 1.000 | 1.000 | 0.005 | 0.000 | 4.280 | 0.577 | See | See |
| 28 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 18.805 | 0.048 | 0.0 | 0.019 | 1 | 5 | 0.984 | 0.989 | 0.300 | 0.001 | 62.601 | 0.293 | See | See |
| 29 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.028 | 0.000 | 0.0 | 0.028 | 1 | 5 | 1.000 | 1.000 | 0.005 | 0.000 | 5.430 | 0.528 | See | See |
| 31 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 32.068 | 0.000 | 0.0 | 0.032 | -1 | 5 | 0.984 | 0.986 | 0.255 | 0.002 | 126.005 | 0.757 | See | See |
| 32 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.035 | 0.003 | 0.0 | 0.035 | -1 | 5 | 1.000 | 1.000 | 0.005 | 0.000 | 6.578 | 0.781 | See | See |
| 34 | KNeighborsClassifier | predict | 1000000 | 1000 | 2 | NaN | 18.809 | 0.062 | 0.0 | 0.019 | 1 | 100 | 0.986 | 0.978 | 0.256 | 0.003 | 73.554 | 0.767 | See | See |
| 35 | KNeighborsClassifier | predict | 1000000 | 1 | 2 | NaN | 0.028 | 0.000 | 0.0 | 0.028 | 1 | 100 | 1.000 | 1.000 | 0.005 | 0.000 | 5.128 | 0.266 | See | See |
KNeighborsClassifier_kd_tree: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: algorithm=kd_tree.
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 3.422 | 0.0 | 0.023 | 0.0 | -1 | 1 | NaN | NaN | 0.734 | 0.0 | 4.660 | 0.0 | See | See |
| 3 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 2.846 | 0.0 | 0.028 | 0.0 | -1 | 100 | NaN | NaN | 0.730 | 0.0 | 3.899 | 0.0 | See | See |
| 6 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 2.886 | 0.0 | 0.028 | 0.0 | 1 | 5 | NaN | NaN | 0.743 | 0.0 | 3.885 | 0.0 | See | See |
| 9 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 2.876 | 0.0 | 0.028 | 0.0 | -1 | 5 | NaN | NaN | 0.728 | 0.0 | 3.952 | 0.0 | See | See |
| 12 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 2.882 | 0.0 | 0.028 | 0.0 | 1 | 1 | NaN | NaN | 0.722 | 0.0 | 3.993 | 0.0 | See | See |
| 15 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 10 | NaN | 2.889 | 0.0 | 0.028 | 0.0 | 1 | 100 | NaN | NaN | 0.720 | 0.0 | 4.013 | 0.0 | See | See |
| 18 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.732 | 0.0 | 0.022 | 0.0 | -1 | 1 | NaN | NaN | 0.455 | 0.0 | 1.611 | 0.0 | See | See |
| 21 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.793 | 0.0 | 0.020 | 0.0 | -1 | 100 | NaN | NaN | 0.454 | 0.0 | 1.746 | 0.0 | See | See |
| 24 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.773 | 0.0 | 0.021 | 0.0 | 1 | 5 | NaN | NaN | 0.459 | 0.0 | 1.685 | 0.0 | See | See |
| 27 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.740 | 0.0 | 0.022 | 0.0 | -1 | 5 | NaN | NaN | 0.474 | 0.0 | 1.560 | 0.0 | See | See |
| 30 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.735 | 0.0 | 0.022 | 0.0 | 1 | 1 | NaN | NaN | 0.479 | 0.0 | 1.534 | 0.0 | See | See |
| 33 | KNeighborsClassifier_kd_tree | fit | 1000000 | 1000000 | 2 | NaN | 0.721 | 0.0 | 0.022 | 0.0 | 1 | 100 | NaN | NaN | 0.527 | 0.0 | 1.368 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | n_jobs | n_neighbors | accuracy_score_sklearn | accuracy_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 0.466 | 0.007 | 0.000 | 0.000 | -1 | 1 | 0.960 | 0.974 | 0.623 | 0.004 | 0.748 | 0.012 | See | See |
| 2 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.003 | 0.000 | 0.000 | 0.003 | -1 | 1 | 1.000 | 1.000 | 0.002 | 0.001 | 1.628 | 0.868 | See | See |
| 4 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 2.832 | 0.016 | 0.000 | 0.003 | -1 | 100 | 0.974 | 0.963 | 0.124 | 0.004 | 22.829 | 0.804 | See | See |
| 5 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.005 | 0.001 | 0.000 | 0.005 | -1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 11.056 | 6.776 | See | See |
| 7 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 1.511 | 0.038 | 0.000 | 0.002 | 1 | 5 | 0.978 | 0.963 | 0.124 | 0.004 | 12.202 | 0.518 | See | See |
| 8 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.002 | 0.000 | 0.000 | 0.002 | 1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 3.102 | 1.957 | See | See |
| 10 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 0.850 | 0.011 | 0.000 | 0.001 | -1 | 5 | 0.978 | 0.975 | 0.217 | 0.004 | 3.915 | 0.085 | See | See |
| 11 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.003 | 0.001 | 0.000 | 0.003 | -1 | 5 | 1.000 | 1.000 | 0.001 | 0.000 | 5.377 | 3.142 | See | See |
| 13 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 0.778 | 0.016 | 0.000 | 0.001 | 1 | 1 | 0.960 | 0.974 | 0.618 | 0.003 | 1.259 | 0.026 | See | See |
| 14 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 1.000 | 1.000 | 0.002 | 0.001 | 0.625 | 0.363 | See | See |
| 16 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 10 | NaN | 5.182 | 0.079 | 0.000 | 0.005 | 1 | 100 | 0.974 | 0.975 | 0.223 | 0.003 | 23.273 | 0.474 | See | See |
| 17 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 10 | NaN | 0.004 | 0.001 | 0.000 | 0.004 | 1 | 100 | 1.000 | 1.000 | 0.001 | 0.000 | 5.663 | 3.636 | See | See |
| 19 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.022 | 0.001 | 0.001 | 0.000 | -1 | 1 | 0.979 | 0.987 | 0.006 | 0.001 | 3.579 | 0.459 | See | See |
| 20 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 18.056 | 13.336 | See | See |
| 22 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.045 | 0.000 | 0.000 | 0.000 | -1 | 100 | 0.986 | 0.974 | 0.001 | 0.000 | 59.380 | 21.696 | See | See |
| 23 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 20.507 | 17.654 | See | See |
| 25 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.023 | 0.001 | 0.001 | 0.000 | 1 | 5 | 0.987 | 0.974 | 0.001 | 0.000 | 29.925 | 10.680 | See | See |
| 26 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 5.274 | 4.241 | See | See |
| 28 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.024 | 0.001 | 0.001 | 0.000 | -1 | 5 | 0.987 | 0.985 | 0.001 | 0.000 | 21.037 | 5.892 | See | See |
| 29 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.002 | 0.000 | 0.000 | 0.002 | -1 | 5 | 1.000 | 1.000 | 0.000 | 0.000 | 21.438 | 18.879 | See | See |
| 31 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.021 | 0.001 | 0.001 | 0.000 | 1 | 1 | 0.979 | 0.987 | 0.007 | 0.001 | 3.132 | 0.347 | See | See |
| 32 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 1 | 1.000 | 1.000 | 0.000 | 0.000 | 4.956 | 4.467 | See | See |
| 34 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1000 | 2 | NaN | 0.050 | 0.002 | 0.000 | 0.000 | 1 | 100 | 0.986 | 0.985 | 0.001 | 0.000 | 47.072 | 15.794 | See | See |
| 35 | KNeighborsClassifier_kd_tree | predict | 1000000 | 1 | 2 | NaN | 0.001 | 0.000 | 0.000 | 0.001 | 1 | 100 | 1.000 | 1.000 | 0.000 | 0.000 | 5.630 | 5.048 | See | See |
KMeans_tall: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: algorithm=full, n_clusters=3, max_iter=30, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | n_iter_sklearn | mean_sklearn | stdev_sklearn | throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 30 | 0.596 | 0.0 | 0.805 | 0.0 | random | NaN | 30 | NaN | 0.372 | 0.0 | 1.602 | 0.0 | See | See |
| 3 | KMeans_tall | fit | 1000000 | 1000000 | 2 | 30 | 0.587 | 0.0 | 0.817 | 0.0 | k-means++ | NaN | 30 | NaN | 0.421 | 0.0 | 1.396 | 0.0 | See | See |
| 6 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 30 | 6.435 | 0.0 | 3.730 | 0.0 | random | NaN | 30 | NaN | 2.675 | 0.0 | 2.406 | 0.0 | See | See |
| 9 | KMeans_tall | fit | 1000000 | 1000000 | 100 | 30 | 6.185 | 0.0 | 3.880 | 0.0 | k-means++ | NaN | 30 | NaN | 2.820 | 0.0 | 2.193 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter_sklearn | mean_sklearn | stdev_sklearn | throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_tall | predict | 1000000 | 1000 | 2 | 30 | 0.001 | 0.000 | 0.359 | 0.000 | random | 0.001 | 30 | 0.001 | 0.0 | 0.0 | 9.033 | 6.335 | See | See |
| 2 | KMeans_tall | predict | 1000000 | 1 | 2 | 30 | 0.001 | 0.000 | 0.000 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.285 | 8.143 | See | See |
| 4 | KMeans_tall | predict | 1000000 | 1000 | 2 | 30 | 0.001 | 0.000 | 0.356 | 0.000 | k-means++ | 0.001 | 30 | 0.001 | 0.0 | 0.0 | 8.728 | 6.349 | See | See |
| 5 | KMeans_tall | predict | 1000000 | 1 | 2 | 30 | 0.001 | 0.000 | 0.000 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.311 | 7.750 | See | See |
| 7 | KMeans_tall | predict | 1000000 | 1000 | 100 | 30 | 0.002 | 0.002 | 10.248 | 0.000 | random | 0.002 | 30 | 0.002 | 0.0 | 0.0 | 8.973 | 7.764 | See | See |
| 8 | KMeans_tall | predict | 1000000 | 1 | 100 | 30 | 0.001 | 0.000 | 0.019 | 0.001 | random | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 10.012 | 7.324 | See | See |
| 10 | KMeans_tall | predict | 1000000 | 1000 | 100 | 30 | 0.002 | 0.001 | 11.755 | 0.000 | k-means++ | 0.001 | 30 | 0.002 | 0.0 | 0.0 | 7.862 | 5.754 | See | See |
| 11 | KMeans_tall | predict | 1000000 | 1 | 100 | 30 | 0.001 | 0.000 | 0.018 | 0.001 | k-means++ | 1.000 | 30 | 1.000 | 0.0 | 0.0 | 9.761 | 6.716 | See | See |
KMeans_short: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: algorithm=full, n_clusters=300, max_iter=20, n_init=1, tol=1e-16.
| estimator | function | n_samples_train | n_samples | n_features | n_iter_sklearn | mean_sklearn | stdev_sklearn | throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | KMeans_short | fit | 10000 | 10000 | 2 | 20 | 0.206 | 0.0 | 0.016 | 0.0 | k-means++ | NaN | 20 | NaN | 0.083 | 0.0 | 2.488 | 0.0 | See | See |
| 3 | KMeans_short | fit | 10000 | 10000 | 2 | 20 | 0.072 | 0.0 | 0.045 | 0.0 | random | NaN | 20 | NaN | 0.026 | 0.0 | 2.703 | 0.0 | See | See |
| 6 | KMeans_short | fit | 10000 | 10000 | 100 | 20 | 0.545 | 0.0 | 0.294 | 0.0 | k-means++ | NaN | 20 | NaN | 0.303 | 0.0 | 1.799 | 0.0 | See | See |
| 9 | KMeans_short | fit | 10000 | 10000 | 100 | 20 | 0.195 | 0.0 | 0.819 | 0.0 | random | NaN | 20 | NaN | 0.106 | 0.0 | 1.835 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter_sklearn | mean_sklearn | stdev_sklearn | throughput | latency | init | adjusted_rand_score_sklearn | n_iter_sklearnex | adjusted_rand_score_sklearnex | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | KMeans_short | predict | 10000 | 1000 | 2 | 20 | 0.002 | 0.000 | 0.188 | 0.000 | k-means++ | -0.003 | 20 | -0.000 | 0.001 | 0.0 | 3.370 | 0.812 | See | See |
| 2 | KMeans_short | predict | 10000 | 1 | 2 | 20 | 0.001 | 0.000 | 0.000 | 0.001 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 10.457 | 8.111 | See | See |
| 4 | KMeans_short | predict | 10000 | 1000 | 2 | 20 | 0.002 | 0.000 | 0.189 | 0.000 | random | 0.001 | 20 | 0.000 | 0.001 | 0.0 | 3.360 | 0.964 | See | See |
| 5 | KMeans_short | predict | 10000 | 1 | 2 | 20 | 0.001 | 0.001 | 0.000 | 0.001 | random | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 11.859 | 9.838 | See | See |
| 7 | KMeans_short | predict | 10000 | 1000 | 100 | 20 | 0.002 | 0.000 | 6.779 | 0.000 | k-means++ | 0.306 | 20 | 0.295 | 0.001 | 0.0 | 2.349 | 0.499 | See | See |
| 8 | KMeans_short | predict | 10000 | 1 | 100 | 20 | 0.001 | 0.000 | 0.012 | 0.001 | k-means++ | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 7.838 | 4.358 | See | See |
| 10 | KMeans_short | predict | 10000 | 1000 | 100 | 20 | 0.002 | 0.000 | 6.798 | 0.000 | random | 0.251 | 20 | 0.309 | 0.001 | 0.0 | 2.306 | 0.416 | See | See |
| 11 | KMeans_short | predict | 10000 | 1 | 100 | 20 | 0.001 | 0.000 | 0.012 | 0.001 | random | 1.000 | 20 | 1.000 | 0.000 | 0.0 | 8.274 | 5.685 | See | See |
LogisticRegression: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: penalty=l2, dual=False, tol=0.0001, C=1.0, fit_intercept=True, intercept_scaling=1, class_weight=nan, random_state=nan, solver=lbfgs, max_iter=100, multi_class=auto, verbose=0, warm_start=False, n_jobs=nan, l1_ratio=nan.
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | LogisticRegression | fit | 1000000 | 1000000 | 100 | [20] | 11.358 | 0.0 | [-0.10388143] | 0.000 | NaN | NaN | NaN | NaN | NaN | 1.994 | 0.0 | 5.697 | 0.0 | See | See |
| 3 | LogisticRegression | fit | 1000 | 1000 | 10000 | [27] | 0.840 | 0.0 | [-2.54014548] | 0.001 | NaN | NaN | NaN | NaN | NaN | 0.905 | 0.0 | 0.929 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | class_weight | l1_ratio | n_jobs | random_state | accuracy_score | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | LogisticRegression | predict | 1000000 | 1000 | 100 | [20] | 0.000 | 0.0 | [58.08999374] | 0.0 | NaN | NaN | NaN | NaN | 0.541 | 0.000 | 0.0 | 0.817 | 0.445 | See | See |
| 2 | LogisticRegression | predict | 1000000 | 1 | 100 | [20] | 0.000 | 0.0 | [0.2512914] | 0.0 | NaN | NaN | NaN | NaN | 1.000 | 0.000 | 0.0 | 0.361 | 0.383 | See | See |
| 4 | LogisticRegression | predict | 1000 | 100 | 10000 | [27] | 0.002 | 0.0 | [142.86230177] | 0.0 | NaN | NaN | NaN | NaN | 0.350 | 0.003 | 0.0 | 0.527 | 0.129 | See | See |
| 5 | LogisticRegression | predict | 1000 | 1 | 10000 | [27] | 0.000 | 0.0 | [23.9225176] | 0.0 | NaN | NaN | NaN | NaN | 1.000 | 0.001 | 0.0 | 0.134 | 0.106 | See | See |
Ridge: scikit-learn (1.0.dev0) vs. scikit-learn-intelex (2021.20210705.191215)¶All estimators share the following hyperparameters: alpha=1.0, fit_intercept=True, normalize=deprecated, copy_X=True, max_iter=nan, tol=0.001, solver=auto, random_state=nan.
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | max_iter | random_state | r2_score | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | Ridge | fit | 1000 | 1000 | 10000 | NaN | 0.176 | 0.0 | 0.456 | 0.0 | NaN | NaN | NaN | 0.177 | 0.0 | 0.989 | 0.0 | See | See |
| 3 | Ridge | fit | 1000000 | 1000000 | 100 | NaN | 1.479 | 0.0 | 0.541 | 0.0 | NaN | NaN | NaN | 0.230 | 0.0 | 6.439 | 0.0 | See | See |
| estimator | function | n_samples_train | n_samples | n_features | n_iter | mean_sklearn | stdev_sklearn | throughput | latency | max_iter | random_state | r2_score | mean_sklearnex | stdev_sklearnex | speedup | stdev_speedup | sklearn_profiling | sklearnex_profiling | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ridge | predict | 1000 | 1000 | 10000 | NaN | 0.011 | 0.0 | 7.036 | 0.0 | NaN | NaN | 0.103 | 0.019 | 0.001 | 0.592 | 0.042 | See | See |
| 2 | Ridge | predict | 1000 | 1 | 10000 | NaN | 0.000 | 0.0 | 1.032 | 0.0 | NaN | NaN | NaN | 0.000 | 0.000 | 0.754 | 0.780 | See | See |
| 4 | Ridge | predict | 1000000 | 1000 | 100 | NaN | 0.000 | 0.0 | 5.809 | 0.0 | NaN | NaN | 1.000 | 0.000 | 0.000 | 0.635 | 0.498 | See | See |
| 5 | Ridge | predict | 1000000 | 1 | 100 | NaN | 0.000 | 0.0 | 0.014 | 0.0 | NaN | NaN | NaN | 0.000 | 0.000 | 0.663 | 0.784 | See | See |